Frame your interaction with AI as if you're onboarding a new employee. Providing deep context, clear expectations, and even a mental "salary" forces you to take the task seriously, leading to vastly superior outputs compared to casual prompting.

Contrary to social norms, overly polite or vague requests can lead to cautious, pre-canned, and less direct AI responses. The most effective tone is a firm, clear, and collaborative one, similar to how you would brief a capable teammate, not an inferior.

Instead of spending time trying to craft the perfect prompt from scratch, provide a basic one and then ask the AI a simple follow-up: "What do you need from me to improve this prompt?" The AI will then list the specific context and details it requires, turning prompt engineering into a simple Q&A session.

AI tools rarely produce perfect results initially. The user's critical role is to serve as a creative director, not just an operator. This means iteratively refining prompts, demanding better scripts, and correcting logical flaws in the output to avoid generic, low-quality content.

The challenge in using AI effectively is often prompt engineering, not model capability. A potential solution is a social platform where users can follow experts, discover their prompts, and be 'catalyzed' by others' creativity. This democratizes access to AI's full potential beyond one's own ingenuity.

Customizing an AI to be overly complimentary and supportive can make interacting with it more enjoyable and motivating. This fosters a user-AI "alliance," leading to better outcomes and a more effective learning experience, much like having an encouraging teacher.

To get the best results from AI, treat it like a virtual assistant you can have a dialogue with. Instead of focusing on the perfect single prompt, provide rich context about your goals and then engage in a back-and-forth conversation. This collaborative approach yields more nuanced and useful outputs.

Instead of only giving instructions, ask ChatGPT to first ask you questions about your goal. This leverages the AI's knowledge of what information it needs to produce the best possible, most tailored output for your specific request.

Research shows that, similar to humans, LLMs respond to positive reinforcement. Including encouraging phrases like "take a deep breath" or "go get 'em, Slugger" in prompts is a deliberate technique called "emotion prompting" that can measurably improve the quality and performance of the AI's output.